Efficient silicon-containing di-chain anionic surfactants for stabilizing oil-water interfaces in microemulsions

Abstract

New di-chain anionic surfactants containing silicon (Si) atoms in the hydrophobic chain-tips (trimethylsilyl hedgehog surfactants, TMS) are able to reduce air-water (A-W) surface tension γcmc to as low as ≈ 22 mN m-1 (Phys. Chem. Chem. Phys., 2017, 19, 23869). However, the extent to which these surfactants stabilize alkane oil-water (O-W) interfaces is unexplored. Here, it is shown that such TMS surfactants are able to stabilize water-in-oil microemulsions (W/O-μEs). The O-W interfacial tensions γo/w in these μEs are ultra-low, in the range 10-2 to 10-4 mN m-1, and μE-stability can be optimized by varying surfactant-and solvent chemical structures. For example, with aliphatic n-alkanes and cycloalkanes, the surfactant AOT-SiC (Figure 1) alone stabilizes W/O-μEs over a wide temperature window, but not with the aromatic solvent toluene. Likewise, AOT-SiB forms W/O-μEs, but preferably in aromatic solvents, such as toluene. Contrast-variation small-angle neutron scattering (SANS) measurements indicate that the water droplets in these W/O-μEs, are stabilized by surfactant-monolayers. In all of these systems, the droplet morphologies and shapes are correlated with the proximity to (from) the μE-phase stability boundaries. The results show that Si-containing TMS surfactants are effective at O-W interfaces, promoting the ultra-low interfacial tensions necessary for stabilization of μEs. These TMS surfactants offer credible alternatives to environmentally damaging and health-hazardous fluorinated surfactants (FSURFs).

Supplementary files

Article information

Article type
Paper
Submitted
11 Aug 2025
Accepted
17 Nov 2025
First published
21 Nov 2025
This article is Open Access
Creative Commons BY license

Soft Matter, 2025, Accepted Manuscript

Efficient silicon-containing di-chain anionic surfactants for stabilizing oil-water interfaces in microemulsions

A. Rahman, J. Eastoe, I. Serafin, G. Moody, S. Sennik, D. B. M. Khairuldin, S. E. Rogers, R. M. Dalgliesh and S. Prevost, Soft Matter, 2025, Accepted Manuscript , DOI: 10.1039/D5SM00817D

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